title: EELS elemental mapping with unconventional methods. II. Applications to biological specimens.
abstract: This article presents two applications of image analysis and processing using the unconventional methods described in the companion paper (part I). Both the information analysis via relative entropy measurement and mapping and the factorial analysis of correspondence are demonstrated to be valuable tools for building an elemental map from a set of noisy energy-filtered images recorded in an analytical transmission electron microscope. Although the only technique considered here is electron energy loss spectroscopy, there is no doubt that such methods can be applied to a wide variety of similar problems: only a reduced number of underlying hypotheses are needed.
authors.affiliation: Laboratoire de Physique des Solides, Orsay, France.
authors.forename: P
authors.initials: P
authors.lastname: Trebbia
authors.forename: C
authors.initials: C
authors.lastname: Mory
mesh_terms: D000465:Algorithms; D000818:Animals; D005612:Freeze Drying; D006132:Growth Plate / Q000737:chemistry* / Q000648:ultrastructure; D007091:Image Processing, Computer-Assisted; D008433:Mathematics; D008854:Microscopy, Electron / Q000379:methods*; D008928:Mitochondria / Q000737:chemistry* / Q000648:ultrastructure; D010758:Phosphorus / Q000032:analysis*; D051381:Rats; D014501:Uranium / Q000032:analysis*
chemical_list: D010758:Phosphorus; D014501:Uranium